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KU Leuven
FREQUENCY DEPENDENT AND PARAMETRIC REDUCED ORDER MODELS FOR NVH SIMULATION
KU Leuven
KU Leuven is an autonomous university. It was founded in 1425. It was born of and has grown within the Catholic tradition.
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JOB DETAILS
Published: 16 days ago
Application deadline: Dec 31
Location: Leuven, Belgium
Please mention that you found this job on Academic Positions when applying.
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FREQUENCY DEPENDENT AND PARAMETRIC REDUCED ORDER MODELS FOR NVH SIMULATION

(ref. BAP-2018-606)

The KU Leuven Noise and Vibration Research Group is headed by Prof. Wim Desmet (www.kuleuven.be/wieiswie/en/person/00011973) and currently counts 8 permanent staff members, 16 senior post-doc and 55 PhD researchers. The group has a longstanding history and internationally highly recognized expertise in the fields of engineering dynamics of (mecha(tro)nic) systems, vibro-acoustic modelling, simulation, analysis and testing, identification and control of (non-)linear systems, and lightweight structure design and analysis. The Noise and Vibration research group is also recognized for its yearly Acoustics (ISAAC) and Modal Analysis (ISMA) courses and for organizing the biennial ISMA Noise and Vibration Engineering Conference (www.isma-isaac.be).

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Project

The aim of this project is to develop robust Reduce Order Methods (ROM) which can be applied for multi-scale noise and vibration harshness (NVH) simulation of composite, 3D printed and meta-material structures. This project is a 4-year research project (funded by SIM Flanders) where the research group KUL-PMA at KU Leuven (Belgium) will collaborate with the research groups UGent-MMS at Ghent University (Belgium) and KUL-MTM at KULeuven (Belgium). The Industrial Advisory Board consists of Siemens Industry Software (SISW), Honda R&D, Materialise, LCV and TWE Meulebeke. 

In previous and ongoing research the KUL-PMA is developing methods for the effective NVH simulation of a range of novel materials both in the frequency and time domain. These models are represented by Representative Volume Elements (RVE) at the micro and meso-scales. This allows to generate homogenized properties which can be propagated to a larger scale. However, many of the current methodologies start from strong assumptions on the boundary conditions to limit the computational load. In practice however, these assumptions appear rather inaccurate. This strongly limits the practical predictive properties of these models, which is key to develop the most performant materials and structures.

The main aim of this PhD is to develop novel model order reduction techniques which allow to consider more generalized boundary conditions on the smaller scales such that more realistic structural models can be obtained. A range of novel material classes will be considered and the developed techniques will need to handle the complex frequency dependent behaviour present in these materials. The PhD student will be closely assisted by a team of post-doctoral research fellows at KUL-PMA.

Profile

The PhD project is focused on reduced order modeling for multi-scale NVH simulation. An ideal candidate has an M.Sc. in engineering and a solid background in mathematics and preferably some knowledge on FE modeling and NVH.

  • We are looking for a candidate who enjoys working in the field of numerical modeling, who is curious and has the courage to try out new things.
  • All candidates must be fluent in spoken and written English.
  • All members of the network are equal opportunity employers, both female and male candidates are invited to apply.
  • The applicant may be of any nationality.
Offer

KU Leuven offers to the selected candidate a stimulating and ambitious research environment [1] which is embedded in the DNA of the region of Leuven, a premier destination for Health, High-Tech and Creativity [2] and considered an extremely nice place to live and work.

To assist Fellows in matters of work permits, visas, living, mobility, housing,… , KU Leuven has the International Admissions Office (an Official Marie Curie mobility centre recognized by the Flemish government) with dedicated Officers which offers new colleagues HR, Recruitment and Career Management support [3].

[1] http://www.kuleuven.be/english/living

[2] http://www.leuvenmindgate.be/en

[3] www.kuleuven.be/welcome

Interested?

To apply for this position, please complete part 1 and part 2 of the application:

PART 1 (KU LEUVEN APPLICATION TOOL) You can complete part 1 of the application via the online application tool mentioned at the bottom of this page. In this application tool, please upload your CV and motivation letter. Under 'Other' please upload: - Full list of credits and grades of both BSc and MSc degrees, as well as their transcription to English if possible - Two reference Letters - An English version of MSc or PhD thesis, or of a recent publication or assignment (if you have any) - Proof of English proficiency (TOEFL, IELTS, …) if available.

 PART 2 (APPLICATION FORM OF THE DEPARTMENT) You can complete part 2 of the application via this online registration form: https://www.mech.kuleuven.be/en/research/mod/job-offers/application-forms/mor4design_nvh

***PLEASE NOTE: ONLY APPLICATIONS RECEIVED VIA BOTH FORMS WILL BE CONSIDERED!***

For more information please contact: mod.hr@kuleuven.be.

You can apply for this job no later than December 31, 2018 via the online application tool

KU Leuven seeks to foster an environment where all talents can flourish, regardless of gender, age, cultural background, nationality or impairments. If you have any questions relating to accessibility or support, please contact us at diversiteit.HR@kuleuven.be.

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